1. Joint Modeling
1.1 Trace plots for convergence check
The current MCMC setting is:
- 4000000 iteration;
- 3000000 burn-in;
- 1000 thinning.
1.2 Gelman and Rubin’s convergence check
## Potential scale reduction factors:
##
## Point est. Upper C.I.
## HDevsum 1.00 1.00
## LDevsum 1.00 1.00
## dl0 1.23 1.77
## dl1 1.00 1.03
## dl2 1.19 1.64
## dl3 1.01 1.03
##
## Multivariate psrf
##
## 1.13
1.3 ACF Plots
Here we plotted ACF plots for the following variables:
- Total deviance;
- Variables that didn’t pass the convergence check.
1.4 WAIC results
| LevelH | LevelL | |
|---|---|---|
| DIC | 1131.80440 | 24103.905 |
| DIC3 | 1105.53873 | 20818.282 |
| PWAIC | 21.20733 | 1097.116 |
| WAIC | 1115.95145 | 21277.362 |
2. Separate Modeling of High-Level
2.1 Trace plots for convergence check
The current MCMC setting is:
- 4000000 iteration;
- 3000000 burn-in;
- 1000 thinning.
2.2 Gelman and Rubin’s convergence check
## Potential scale reduction factors:
##
## Point est. Upper C.I.
## [1,] 1 1
2.3 ACF Plots
Here we plotted ACF plots for the following variables:
- Total deviance;
- Variables that didn’t pass the convergence check.
2.4 WAIC results
| H0 | |
|---|---|
| DIC | 1131.80440 |
| DIC3 | 1105.53873 |
| PWAIC | 21.20733 |
| WAIC | 1115.95145 |
3. Separate Modeling for Low-level
3.1 Trace plots for convergence check
The current MCMC setting is:
- 4000000 iteration;
- 3000000 burn-in;
- 1000 thinning.
3.2 Gelman and Rubin’s convergence check
## Potential scale reduction factors:
##
## Point est. Upper C.I.
## LDevsum 1.00 1.00
## dl0 1.23 1.77
## dl1 1.00 1.03
## dl2 1.19 1.64
## dl3 1.01 1.03
##
## Multivariate psrf
##
## 1.13
3.3 ACF Plots
Here we plotted ACF plots for the following variables:
- Total deviance;
- Variables that didn’t pass the convergence check.
3.4 WAIC results
| L7 | |
|---|---|
| DIC | 24103.905 |
| DIC3 | 20818.282 |
| PWAIC | 1097.116 |
| WAIC | 21277.362 |